Abstract
This overview paper provides a description of the automatic Human Behaviour Analysis (HBA) task for the MediaEval 2018. In its first edition, the HBA task focuses on analyzing one of the most basic elements of social behavior: the estimation of speaking status. Task participants are provided with cropped videos of individuals while interacting freely during a crowded mingle event that
was captured by an overhead camera. Each individual is also wearing a badge-like device hung around the neck recording tri-axial acceleration.
The goal of this task is to automatically estimate if a person is speaking or not using these two alternative modalities. In contrast to conventional speech detection approaches, no audio is used for this task. Instead, the automatic estimation system must exploit the natural human movements that accompany speech. The task seeks to achieve competitive estimation performance
compared to audio-based systems by exploiting the multi-modal aspects of the problem.
was captured by an overhead camera. Each individual is also wearing a badge-like device hung around the neck recording tri-axial acceleration.
The goal of this task is to automatically estimate if a person is speaking or not using these two alternative modalities. In contrast to conventional speech detection approaches, no audio is used for this task. Instead, the automatic estimation system must exploit the natural human movements that accompany speech. The task seeks to achieve competitive estimation performance
compared to audio-based systems by exploiting the multi-modal aspects of the problem.
Original language | English |
---|---|
Title of host publication | Working Notes Proceedings of the MediaEval 2018 Workshop |
Editors | Martha Larson, Piyush Arora, Claire-Hélène Demarty, Michael Riegler, Benjamin Bischke, Emmanuel Dellandrea, Mathias Lux, Alastair Porter, Gareth J.F. Jones |
Pages | 1-3 |
Number of pages | 3 |
Publication status | Published - 2018 |
Event | MediaEval 2018: Multimedia Benchmark Workshop - EURECOM, Sophia-Antipolis, France Duration: 29 Oct 2018 → 31 Oct 2018 http://www.multimediaeval.org/mediaeval2018/ |
Publication series
Name | CEUR Workshop Proceedings |
---|---|
Volume | 2283 |
ISSN (Print) | 1613-0073 |
Workshop
Workshop | MediaEval 2018 |
---|---|
Country/Territory | France |
City | Sophia-Antipolis |
Period | 29/10/18 → 31/10/18 |
Internet address |